Movement in S1 and M1

EMG data preprocessing and movement event detection in S1_L23

W1 C1

Figure 1. All detected movement and rest episodes. Movement episodes are marked in red, rest episodes are marked in blue.

Preprocessing

The EMG data were filtered to remove frequencies lower than 400 Hz and higher than 500 Hz. The symmetric linear-phase FIR filter was used. After filtering, the data were scaled using z-transform with the mean and standard deviations of the complete sample data.

Figure 2. EMG data before filtering.

Figure 3. EMG data after filtering.

W1 C2

Figure 1. All detected movement and rest episodes. Movement episodes are marked in red, rest episodes are marked in blue.

Preprocessing

The EMG data were filtered to remove frequencies lower than 400 Hz and higher than 500 Hz. The symmetric linear-phase FIR filter was used. After filtering, the data were scaled using z-transform with the mean and standard deviations of the complete sample data.

Figure 2. EMG data before filtering.

Figure 3. EMG data after filtering.

W1 C8

Figure 1. All detected movement and rest episodes. Movement episodes are marked in red, rest episodes are marked in blue.

Preprocessing

The EMG data were filtered to remove frequencies lower than 400 Hz and higher than 500 Hz. The symmetric linear-phase FIR filter was used. After filtering, the data were scaled using z-transform with the mean and standard deviations of the complete sample data.

Figure 2. EMG data before filtering.

Figure 3. EMG data after filtering.

W2 C3

Figure 1. All detected movement and rest episodes. Movement episodes are marked in red, rest episodes are marked in blue.

Preprocessing

The EMG data were filtered to remove frequencies lower than 400 Hz and higher than 500 Hz. The symmetric linear-phase FIR filter was used. After filtering, the data were scaled using z-transform with the mean and standard deviations of the complete sample data.

Figure 2. EMG data before filtering.

Figure 3. EMG data after filtering.

W2 C4

Figure 1. All detected movement and rest episodes. Movement episodes are marked in red, rest episodes are marked in blue.

Preprocessing

The EMG data were filtered to remove frequencies lower than 400 Hz and higher than 500 Hz. The symmetric linear-phase FIR filter was used. After filtering, the data were scaled using z-transform with the mean and standard deviations of the complete sample data.

Figure 2. EMG data before filtering.

Figure 3. EMG data after filtering.

W2 C5

Figure 1. All detected movement and rest episodes. Movement episodes are marked in red, rest episodes are marked in blue.

Preprocessing

The EMG data were filtered to remove frequencies lower than 400 Hz and higher than 500 Hz. The symmetric linear-phase FIR filter was used. After filtering, the data were scaled using z-transform with the mean and standard deviations of the complete sample data.

Figure 2. EMG data before filtering.

Figure 3. EMG data after filtering.

W2 C6

Figure 1. All detected movement and rest episodes. Movement episodes are marked in red, rest episodes are marked in blue.

Preprocessing

The EMG data were filtered to remove frequencies lower than 400 Hz and higher than 500 Hz. The symmetric linear-phase FIR filter was used. After filtering, the data were scaled using z-transform with the mean and standard deviations of the complete sample data.

Figure 2. EMG data before filtering.

Figure 3. EMG data after filtering.

W3 C10

Figure 1. All detected movement and rest episodes. Movement episodes are marked in red, rest episodes are marked in blue.

Preprocessing

The EMG data were filtered to remove frequencies lower than 400 Hz and higher than 500 Hz. The symmetric linear-phase FIR filter was used. After filtering, the data were scaled using z-transform with the mean and standard deviations of the complete sample data.

Figure 2. EMG data before filtering.

Figure 3. EMG data after filtering.

W3 C11

Figure 1. All detected movement and rest episodes. Movement episodes are marked in red, rest episodes are marked in blue.

Preprocessing

The EMG data were filtered to remove frequencies lower than 400 Hz and higher than 500 Hz. The symmetric linear-phase FIR filter was used. After filtering, the data were scaled using z-transform with the mean and standard deviations of the complete sample data.

Figure 2. EMG data before filtering.

Figure 3. EMG data after filtering.

W4 C10

Figure 1. All detected movement and rest episodes. Movement episodes are marked in red, rest episodes are marked in blue.

Preprocessing

The EMG data were filtered to remove frequencies lower than 400 Hz and higher than 500 Hz. The symmetric linear-phase FIR filter was used. After filtering, the data were scaled using z-transform with the mean and standard deviations of the complete sample data.

Figure 2. EMG data before filtering.

Figure 3. EMG data after filtering.